Multi tool use

How to deploy distributed Tensorflow Slim example on multiple nodes (CPUs only)

I have implemented and deployed a CNN training example on my cluster (multiple hosts/nodes)following the tutorial distributed TensorFlow tutorial.

Now I want to run a Tensorflow Slim example in a cluster which contains a few hosts/nodes (CPUs only). In the example code of distributed TensorFlow tutorial, I can use --ps_hosts, --worker_host, --job_name to specify a cluster and a particular job type (ps or worker).

--ps_hosts, --worker_host, --job_name

However, in the train_image_classifier.py I did not find arguments via which I can specify the cluster and job name. Here is the tutorial for deploy TF slim:TF Slim Deploy .

I was wondering if the current TF slim library support deploying a training job on multiple nodes. If yes, how to launch a distributed TF slim job on a cluster? It would be good if you could provide some example code/scripts, just like the code example in distributed TensorFlow tutorial.

Thank you!

By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.